Preprint:
Hausdorff Dimension of the Contours of Symmetric Additive Lévy Processes

Davar Khoshnevisan, Narn-Rueih Shieh, and Yimin Xiao

Abstract. Let X1,…,XN denote N independent, symmetric Lévy processes on Rd. The corresponding additive Lévy process is defined as the following N-parameter random field on Rd:

X(t) := X1(t1) + …+ X_N(t_N)     (tRN+).

Khoshnevisan and Xiao (2002) have found a necessary and sufficient condition for the zero-set X-1({0}) of X to be non-trivial with positive probability. They also provide bounds for the Hausdorff dimension of X-1({0}) which hold with positive probability in the case that X-1({0}) can be non-void. Here, we prove that the Hausdorff dimension of X-1({0}) is a constant almost surely on the event {X-1 ({0}) ≠ ∅}. Moreover, we derive a formula for the said constant. This portion of our work extends the one-parameter formulas of Horowitz (1968) and Hawkes (1974). More generally, we prove that for every non-random Borel set F in (0,∞)N, the Hausdorff dimension of X-1({0}) ∩ F is a constant almost surely on the event {X-1 ({0}) ∩ F ≠ ∅ }. This constant is computed explicitly in many cases.

Keywords. Additive Lévy processes, level sets, Hausdorff dimension

AMS Classification (2000) Primary. 60G70 Secondary. 60F15

Support. Research supported in part by a grant from the National Science Foundation grant DMS-0404729.

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Davar Khoshnevisan
Department of Mathematics
University of Utah
155 S, 1400 E JWB 233
Salt Lake City, UT 84112-0090, U.S.A.
davar@math.utah.edu
Narn-Rueih Shieh
Department of Mathematics,
National Taiwan University
Taipei 10617, Taiwan
shiehnr@math.ntu.edu.tw
Yimin Xiao
Department of Statistics and Probability,
A-413 Wells Hall
Michigan State University
East Lansing, MI 48824, USA
xiao@stt.msu.edu






Last Update: September 25, 2008
© 2006 - Davar Khoshnevisan, Narn-Rueih Shieh, and Yimin Xiao